甫瀚：2025 AI 脉搏调研报告（第二卷）：摆脱数据困境 构建 AI 信心（英文版）（24页）.pdf

1、A I P U L S E S U R V E Y VO L 2From Data Confusion to AI ConfidenceData is the foundation of trustworthy AITable of contentsData confidence is a capability:a call to action21Avoiding the perfect data trap:five key reminders for AI success 20Confidence in data:a maturity marker07Data challenges:hurd

2、les to optimisation16Data bias and unexpected results14Survey demographics and methodology22About Protiviti23Executive AI doesnt exceed expectations by accident it does so on the foundation of trusted data.Executive summary One truth remains constant in the fast-changing age of AI:data is both the f

3、uel AND the friction.In this latest edition of our AI Pulse Survey series,we explore the state of data quality and readiness to support AI efforts,uncovering both encouraging advancements and persistent challenges.For instance,the survey reveals the value of having confidence in data.It shows that:R

4、espondents who are“very confident”or“confident”are more likely to report that AI investments have significantly exceeded their return on investment(ROI)expectations.Conversely,those respondents who are“not confident”or only“somewhat confident”in the quality of their data are more likely to report th

5、at their return on AI investments falls below their expectations.This highlights the need to strengthen the foundations of data confidence.Issues like bias and misinterpretation can erode trust in AI making strong data governance essential.1 Data governance including data integration,preparation of

6、data for AI models and training people to use data responsibly is a key lever for advancing AI maturity and maximising ROI.As organisations advance along the AI maturity continuum(see the following page),the nature of their data challenges shifts though some issues remain of concern.For those at mor